How can I improve my forecasting accuracy?
Improving forecasting accuracy can involve several strategies, such as using more data, refining your models, and incorporating expert judgment.
What types of data should I consider for better forecasts?
Consider historical data, seasonal trends, economic indicators, and any relevant external factors that may influence your forecasts.
Are there specific forecasting models you recommend?
Yes, popular models include ARIMA, exponential smoothing, and machine learning approaches like regression and neural networks.
How do I evaluate the accuracy of my forecasts?
You can evaluate accuracy using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), or tracking signal.
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